S B Patten1. 1. Departments of Community Health Sciences and Psychiatry, Faculty of Medicine, The University of Calgary, Calgary, AB. patten@ucalgary.ca
Abstract
OBJECTIVE: To evaluate cross-sectional associations between depressive episodes and a set of potential biopsychosocial determinants in Calgary, Canada. METHODS: Random digit dialling (RDD) was used to select a sample consisting of 2,542 household residents in Calgary. These subjects were interviewed over the telephone using the Composite International Diagnostic Interview (CIDI) short form for major depression, and a questionnaire evaluating a variety of biopsychosocial variables. RESULTS: The prevalence of major depression was associated with biological (family history of major depression, alcohol consumption, street drug use), psychological (ratings of stress, recent life events) and social factors (social support, marital status, income, level of education). CONCLUSION: This study confirms that major depression is correlated with a diverse set of potential determinants in community populations, and that the impact of these determinants may differ between different populations. Prospective studies will be needed to further investigate these associations.
OBJECTIVE: To evaluate cross-sectional associations between depressive episodes and a set of potential biopsychosocial determinants in Calgary, Canada. METHODS: Random digit dialling (RDD) was used to select a sample consisting of 2,542 household residents in Calgary. These subjects were interviewed over the telephone using the Composite International Diagnostic Interview (CIDI) short form for major depression, and a questionnaire evaluating a variety of biopsychosocial variables. RESULTS: The prevalence of major depression was associated with biological (family history of major depression, alcohol consumption, street drug use), psychological (ratings of stress, recent life events) and social factors (social support, marital status, income, level of education). CONCLUSION: This study confirms that major depression is correlated with a diverse set of potential determinants in community populations, and that the impact of these determinants may differ between different populations. Prospective studies will be needed to further investigate these associations.
Authors: L N Robins; J Wing; H U Wittchen; J E Helzer; T F Babor; J Burke; A Farmer; A Jablenski; R Pickens; D A Regier Journal: Arch Gen Psychiatry Date: 1988-12
Authors: Tonelle E Handley; Kerry J Inder; Frances J Kay-Lambkin; Helen J Stain; Michael Fitzgerald; Terry J Lewin; John R Attia; Brian J Kelly Journal: BMC Psychiatry Date: 2012-08-08 Impact factor: 3.630